What are the applications of the softmax function in AI?

What are the applications of the softmax function in AI?

The softmax function is primarily used in machine learning for multi-class classification problems. It converts raw scores into probabilities.

Can you give me an example of where softmax is used?

Sure! Softmax is commonly used in neural networks, especially in the final layer for tasks like image classification, where it helps in predicting the class probabilities.

Are there any other areas where softmax is applied?

Yes, softmax is also used in reinforcement learning for policy gradients, where it helps in selecting actions based on their probabilities.

How does softmax compare to other activation functions?

Unlike functions like sigmoid or tanh, softmax is specifically designed for multi-class classification, providing a probability distribution over multiple classes.